stnmf 1.1.0

Fast and versatile implementation of spike-triggered non-negative matrix factorization based on AF-HALS

STNMF with AF-HALS

A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated fast hierarchical alternating least squares (AF-HALS) algorithms.

This Python package allows fast inference of receptive-field subunits from the spiking responses of retinal ganglion cells including methods of hyperparameter tuning.

Described in the paper:

Zapp SJ, Khani MH, Schreyer HM, Sridhar S, Ramakrishna V, Krüppel S, Protti DA, Mietsch M, Karamanlis D, Gollisch T (2024). Accelerated spike-triggered non-negative matrix factorization reveals coordinated ganglion cell subunit mosaics in the primate retina. bioRxiv, 590506. https://doi.org/10.1101/2024.04.22.590506

Documentation

The documentation is available at https://stnmf.readthedocs.io.

Installation

Install using pip from command-line:

pip install stnmf

Contact

For feedback and bug reports, please use the Github issue tracker.